International Conference on

Big Data Analytics and Machine Learning Frameworks (ICBDAMLF-26)

17th – 18th Oct 2026 | Istanbul, Turkey | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Big Data Analytics and Machine Learning Frameworks invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Big Data, Machine Learning, Information Technology encouraging interdisciplinary research and innovative approaches to solving real-world problems.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Big data analytics frameworks comparison
02
Machine learning model development frameworks
03
Real-time analytics frameworks for big data
04
Big data visualization frameworks and tools
05
Machine learning for data analysis
06
Big data applications in analytics frameworks
07
Frameworks for scalable machine learning
08
Big data architecture for analytics solutions
09
Machine learning for data-driven insights
10
Big data analytics in cloud environments
11
Frameworks for big data processing
12
Machine learning for data integration
13
Big data governance frameworks
14
Frameworks for predictive analytics
15
Machine learning for data mining
16
Big data in business intelligence frameworks
17
Frameworks for data quality management
18
Machine learning for real-time analytics
19
Big data analytics for operational efficiency
20
Future trends in analytics frameworks
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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